Machine Learning Researcher

I am a Senior R&D Engineer on the Computer Vision team at Kitware. My research focuses on 3D computer vision, including scene and mosaic reconstruction from video, as well as object detection and tracking. I also contribute to Defense Advanced Research Projects Agency (DARPA) programs advancing ethical AI and large language models, including In The Moment (ITM) and Semantic Forensics (SemaFor).

I completed my computing PhD in May 2024 at the Scientific Computing and Imaging Institute (SCI) at the University of Utah under Dr. Shireen Elhabian's advisement. I joined SCI after working in machine learning and speech science for telephone transcription at CaptionCall. Before that, I earned my BS in Mathematics from Westminster College, minoring in Physics and Computer Science and earning an honors certificate.

My dissertation research involved quantifying uncertainty in deep learning models for medical image analysis. I am interested in Bayesian and statistical methods for shape modeling from volumetric images and 3D point clouds. My work has medical applications such as pathology detection and diagnosis in orthopedic, neuroscience, and cardiac research.

In Summer 2022, I completed an internship with the Machine Learning and Instrument Autonomy group at the NASA Jet Propulsion Lab. In this project, I applied Bayesian deep learning techniques for an application in cosmology - Cosmic Microwave Background (CMB) recovery.

In my free time, I tend to my garden with my husband and dog. We also enjoy art, skiing, backpacking, and river rafting.